Digital Image Watermarking in DCT Domain Using Finite Newton Support Vector Regression

Author(s):  
Rajesh Mehta ◽  
Anurag Mishra ◽  
Rampal Singh ◽  
Navin Rajpal
2013 ◽  
Vol 717 ◽  
pp. 720-725
Author(s):  
Qing Jun Wang ◽  
Xiao Bin Wang

This paper proposes digital image watermarking algorithm in DCT domain which makes use of the unique nature of chaotic sequences to encrypt binary image watermarking with copyright information via chaotic sequences and then embeds watermarking component of different strengths in DCT domain of different image blocks self-adaptively. Through the added Gaussian noise, salt and pepper noise and JPEG compression and shear processing operations, the results show that the algorithm has a good visual masking and robustness.


2011 ◽  
Vol 20 (05) ◽  
pp. 801-819
Author(s):  
ALIMOHAMMAD LATIF ◽  
AHMAD REZA NAGHSH-NILCHI

In this paper, an adaptive digital image watermarking technique using fuzzy gradient on DCT domain is presented. In our approach, the image is divided into separate blocks and the DCT is applied on each block individually. Then, the watermark is inserted in the transform domain and the inverse transform is carried out. We increase the robustness of the watermark by increasing the watermark strength. However, this reduces the fidelity of the watermarking scheme. This is because the fidelity and robustness of watermarking are generally in conflict with each other. To improve the fidelity, a new fuzzy-based method is introduced. In this method, a fuzzy gradient-based mask is generated from the host image. Then, as a post-processing stage, the generated mask is combined with the watermarked image. Experimental results show that the proposed technique has high fidelity as well as high robustness against a variety of attacks.


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